Cross-docking is a new warehousing policy in logistics which is widely used all over the world and attracts many researchers attention to study about in last decade. In the literature, economic aspects has been often studied, while one of the most significant factors for being successful in the competitive global market is improving quality of customer servicing and focusing on customer satisfa...

This paper aims to model a consumer goods cross-docking problem, which is solved using metaheuristics minimize makespan and determine the capacity in terms of inbound outbound docks. The consumer-goods problem represented through docks, customer orders (products be delivered customers), as solution method. Simulated annealing (SA) particle swarm optimization (PSO) are implemented solve problem....

Autodock and its various variants are widely utilized docking approaches, which adopt optimization methods as search algorithms for flexible ligand virtual screening. However, many of them have their limitations, such poor accuracy dockings with highly ligands low efficiency. In this paper, a multi-swarm algorithm integrated environment is proposed to design high-performance high-efficiency pro...

In order to reduce costs and increase efficiency of a supply chain system, cross docking is one of the most important strategies of warehousing for consolidation shipments from different suppliers to different customers. Products are collected from suppliers by inbound trucks and then moved to customers by outbound trucks through cross dock. Scheduling of trucks plays important role in the cros...

One important factor in supply chain management is to efficiently control the supply chain flows. Due to its importance, many companies are trying to develop efficient methods to increase customer satisfaction and reduce costs. Cross-docking is considered a good method to reduce inventory and improve responsiveness. The Vehicle Routing Problem with Cross-Docking and Time Windows (VRP-CD-TW) con...